FORCE-TORQUE MEASUREMENT SYSTEM FOR FRACTURE

FORCE-TORQUE MEASUREMENT SYSTEM FOR FRACTURE
SURGERY
Giulio Dagnino PhD1*, Ioannis Georgilas PhD1, Payam Tarassoli MD2, Roger Atkins MD2,
Sanja Dogramadzi PhD1
1,
*Bristol Robotics Laboratory - University of the West of England, Bristol, BS16 1QY,
United Kingdom, [email protected]
2
Bristol Royal Infirmary, Bristol, BS2 8HW, United Kingdom
INTRODUCTION
Many surgical procedures are now performed using the techniques of minimally invasive
surgery (MIS), in which the surgeon manipulates instruments inserted into the patients
through small incisions. In MIS, the surgeon has no direct contact with internal body parts.
Applying an optimal force and torque via the instruments is necessary to conduct an
operation without causing any damage to the internal tissue. Most studies have so far been
reported for general MIS where force-feedback is added to laparoscopic instruments using
various sensing technologies (Menciassi 2001), (Song 2011). This paper reports our work on
minimally invasive fracture surgery, where the issue of force feedback is as important and
relates to the manual manipulation of externally fixated pins inserted in the fracture
fragments to reduce the displacements. The related work in this field includes developments
of surgical robots for fracture reduction of femur. Some of these robots e.g. (Douke 2008),
(Gösling 2006) are equipped with the force measuring sensors to compensate for the
inaccuracy of bone motion caused by surrounding ligaments and muscles. Forces and torques
have been measured and reported in phantoms (Douke 2008) and in patients during femur
fracture reduction (Gösling 2006). Our study is focusing on robot-assisted reduction of
fractures that include joints (Raabe, 2012). The surgical procedure of this type of fractures
involves moving individual fragments to the correct anatomical position. The forces required
to execute these manoeuvres have to be established in order to design robot controllers and
safety parameters for the system. The measurements will be recorded during manual
displacement of the bone fragments using a periosteal elevator (orthopaedic instrument used
to handle periosteum and bone fragments during a fracture surgery) on patients’ legs
subjected to these forces.
For this purpose we have created a modified instrument that can be used in real surgeries.
MATERIALS AND METHODS
A periosteal elevator has been instrumented with a 6-DOF load cell (FTSens, Istituto Italiano
di Tecnologia, Italy) (Fig.1a), to measure forces and torques applied to bone fragments by the
surgeon in-vivo. The periosteal elevator has been cut in two parts between the tip and the
handle and the load cell has been fixed in between. The tip of the device has been kept intact
in order to assure bio-compatibility, but it can be removed from the device to allow proper
sterilisation according to the hospital procedures. The FTSens (Fig.1b) is capable of
measuring simultaneously 3 components of force (Fx, Fy, Fz) and 3 of torque (Tx, Ty, Tz),
and to transmit these data in digital form on a CAN-bus line. A 5mm acetal disk is separating
the tip and the FTSens (Fig.1a). Six plastic PEEK socket head screws fasten the tip to the
load cell to ensure non-conductivity for patient safety. A formal verification process has been
conducted for checking the insulation parameters according to clause 4.10 of IEC60601-1
given that the device is classified as a Safety Extra-Low Voltage (SELV).
Figure 1: Measurement system setup: the assembled measuring device (A); the FTSens and its coordinate frame (B);
the measuring device in the sterile endoscope drape; and the acquisition software GUI (D).
We aim to acquire force/torque measured by the FTSens together with visual information of
the tip interacting with the bone fragments, while recording surgeon’s voice describing the
manoeuvres. All recordings have been integrated into a Force Measurement Software (FMS)
developed in LabView and running on a laptop PC. A graphical user interface (GUI) (Fig.1d)
allows the user to acquire and visualize the force/torque data in real-time together with video
and audio information provided by a USB camera with a microphone. These three sources of
information are time synchronized and simultaneously recorded for off-line analysis.
As a pilot study, the system was tested during a real orthopaedic surgery involving removal
of a metal plate from the femur shaft. The following sterilisation protocol has been followed:
the tip of the device was sterilised in autoclave and the other parts of the device (FTSens and
device handle) were put inside a sterile endoscope drape, leaving only the sterile tip in
contact with the tissues (Fig.1c). Data were acquired using the proposed system only during
two sub-states of the surgical procedure, namely periosteum lifting and plate removal, and
subsequently analysed off-line.
RESULTS
Dedicated software for off-line data analysis was developed in LabView to study the
forces/torques applied during each state of the surgery (i.e. periosteum lifting and plate
removal). Force/torque and video data encode the type of the tool-tissue interaction, while
audio data encode the corresponding state of the surgery. Results are presented in Fig.2.
DISCUSSION
We proposed a new 6-DOF system for force/torque measurement during in-vivo fracture
surgery. The developed technology and surgical protocol were tested in a pilot study during
real orthopaedic surgery, resulting reliable and usable. Coupling force/torque data with video
and audio information produced quantitative knowledge of forces/torques applied by the
surgeon during a specific state of the surgery, as clearly shown by the results from off-line
data analysis (Fig.2). This knowledge can be used to create a database for surgical skills
evaluations allowing objective measurement of skill, improving movement efficiency, and
reducing soft-tissue injuries (Rosen 1999). Also, this technology can be used to design force
sensing systems for robot-assisted surgery (Gonenc 2013, Ortmaier 2007).
Figure 2: Results from the pilot study: forces (A) and torques (B) data are plotted together with their relative surgical
states (from audio data) and samples of surgical images (from video data).
At the Bristol Robotics Laboratory, research toward improving joint fracture surgery is
conducted to create a robotic system for minimally invasive robot-assisted fracture surgery
(RAFS) (Raabe 2012). The approach outlined in this study will be used to perform intensive
force measurements during orthopaedic surgeries. The generated quantitative knowledge will
be used to design a force controller and optimized actuators for the RAFS system.
ACKNOWLEDGEMENT
This is a summary of independent research funded by the National Institute for Health
Research (NIHR)'s Invention for Innovation (i4i) Programme. The views expressed are those
of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.
REFERENCES
Douke T, et al., Control of fracture reduction robot using force/torque measurement, 30th
Annual International IEEE EMBS Conference, Conf Proc IEEE Eng Med Biol Soc., pp:
3265-8, 2008.
Gonenc B, Handa J, Gehlbach P, Taylor RH, Iordachita I, Design of 3-DOF Force Sensing
Micro-Forceps for Robot Assisted Videoretinal Surgery, 35th Annual International
Conference of the IEEE EMBS, Osaka, Japan, 2013.
Gösling T, Westphal R, Faülstich J, Sommer K, Wahl F, Krettek C, Hufner T, Forces and
torques during fracture reduction: Intraoperative measurements in the femur, Journal of
orthopaedic research, 24(3), pp:333-338, 2006.
Menciassi A, Eisinberg A, Scalari G, Anticoli C, Carrozza MC, Dario P, Force feedbackbased microinstrument for measuring tissue properties and pulse in microsurgery,
Proceedings of IEEE International Conference on Robotics and Automation, 2001.
Ortmaier T, Deml B, Kübler B, Passig G, Reintsema D, Seibold U, Robot Assisted Force
Feedback Surgery, in Advances in Telerobotics, pp: 361–379, Springer, Berlin, 2007.
Raabe D, Dogramadzi S, Atkins R, Semi-automatic percutaneous reduction of intra-articular
joint fractures - an initial analysis, IEEE Int Conf Robot Autom, 2012.
Rosen J, MacFarlane M, Richards C, Hannaford B, Sinanan K, Surgeon-Tool Force/Torque
Signatures – Evaluation of Surgical Skills in Minimally Invasive Surgery, Proceedings of
Medicine Meets Virtual Reality, San Francisco, CA, USA, 1999.
Song H, Kim H, Jeong J, Lee J, Development of FBG sensor system for Force-Feedback in
Minimally Invasive Surgery, Fifth International Conference on Sensing Technology,
Palmerston North, New Zealand, 2011.